Chengrong Lin | Industrial engineering | Best Paper Award
Ph.D. Candidate, Chongqing University, China.
Chengrong Lin is a Ph.D. candidate in Electrical Engineering at Chongqing University, specializing in IoT integration, demand-side management, and cyber-physical power systems. He has published extensively in high-impact journals and contributed to significant research projects on renewable energy and power grid reliability.
Summary:
Chengrong Lin is a Ph.D. candidate in Electrical Engineering at Chongqing University, China, with a strong research focus on the integration of IoT in power and energy systems, advanced demand-side management, and cyber-physical-social power distribution systems. His work involves tackling critical challenges in the power sector, particularly in load frequency control (LFC) and optimizing energy distribution networks. He has published extensively in high-impact journals, showcasing his innovative approach to solving real-world problems in modern power grids.
🎓 Education :
Chengrong Lin began his academic journey with a Bachelor of Engineering (B.E.) in Electrical Engineering from Fuzhou University, China, where he graduated in July 2020. Following his undergraduate success, he pursued a Ph.D. in Electrical Engineering at Chongqing University, China, under the supervision of Prof. Bo Hu, a prominent researcher and editor of IEEE Transactions on Power Systems. Since September 2020, he has been deeply involved in cutting-edge research as part of his Ph.D. program.
🏢 Experience:
During his Ph.D., Chengrong Lin has contributed to several significant research projects, including work on renewable energy-dominated power systems, funded by the National Natural Science Foundation of China (NSFC) and the State Grid Corporation of China (SGCC). His project participation spans areas like cyber contingencies modeling, power grid reliability evaluations, and optimizing control mechanisms for smart grids. Notably, he was involved in the Guangdong Power Grid Corporation‘s reliability evaluation and optimization strategy, where he contributed to project schedule management, data analysis, and system performance evaluations.
🛠️Skills:
Chengrong Lin possesses a diverse skill set that includes:
- IoT Integration for Power and Energy Systems
- Advanced Demand-Side Management for optimizing power distribution
- Expertise in Cyber-Physical Systems and their application to energy networks
- Proficiency in Load Frequency Control (LFC) and designing optimal control strategies for power grids
- Project Management in research environments, including scheduling, data analysis, and report writing
- Peer-review experience for prestigious journals such as IEEE Transactions on Cybernetics and ISA Transactions
Research Focus :
Chengrong Lin’s research focuses on several pivotal areas within the electrical engineering field. His primary focus is on integrating the Internet of Things (IoT) into power systems to enhance the management and distribution of energy. He also explores demand-side management strategies that can efficiently balance power supply and demand. Another key area of his research is in the development of cyber-physical-social power distribution systems, which aim to create a more robust and secure power infrastructure by linking physical and digital networks. His research aims to address real-time challenges like load frequency control and optimizing energy usage in smart grids.
🔬Awards:
Throughout his academic career, Chengrong Lin has earned numerous awards in recognition of his outstanding performance and contributions. He has been a recipient of the First Prize Post Graduate Scholarship at Chongqing University in both 2021 and 2022. He also received the First Prize Post Graduate Scholarship for Freshmen upon joining Chongqing University in 2020. During his undergraduate years, he was recognized as an Excellent Graduate Student at Fuzhou University and received the National Encouragement Scholarship twice, in 2017 and 2018. These awards underscore his consistent excellence in research and academics.
Conclusion:
This candidate demonstrates strong potential for a Research for Best Paper Award, with notable strengths in cutting-edge research, high-impact publications, and project experience that addresses critical challenges in power systems. Their work is recognized through prestigious awards and peer-review roles, showcasing their contribution to the field. However, they could enhance their candidacy by broadening the scope of their research, increasing international collaboration, and actively participating in more global conferences
Publications :
📘 Title: Delay-dependent optimal load frequency control for sampling systems with demand response
👥 Authors: C Lin, B Hu, C Shao, W Li, C Li, K Xie
📅 Year: 2022
🔢 Citations: 32
📘 Title: Event-triggered load frequency control based on age-of-information
👥 Authors: C Lin, B Hu, C Shao, Y Ye, HM Tai, K Xie, D Jiao, W Li
📅 Year: 2022
🔢 Citations: 16
📘 Title: An analysis of delay-constrained consensus-based optimal algorithms in virtual power plants
👥 Authors: C Lin, B Hu, C Shao, T Niu, Q Cheng, C Li, K Xie
📅 Year: 2022
🔢 Citations: 9
📘 Title: Robust distributed adaptive consensus for discrete-time multiagent systems with uncertain topologies
👥 Authors: C Lin, B Hu, W Huang, T Niu
📅 Year: 2021
🔢 Citations: 9
📘 Title: Robust consensus for linear multi-agent systems over randomly switching topologies
👥 Authors: C Lin, W Huang, Y Huang, S Chen
📅 Year: 2019
🔢 Citations: 8
📘 Title: Age-of-information-aware PI controller for load frequency control
👥 Authors: D Jiao, C Shao, B Hu, K Xie, C Lin, Z Ju
📅 Year: 2023
🔢 Citations: 3
📘 Title: Integrated assessment of the reliability and frequency deviation risks in power systems considering the frequency regulation of DFIG-based wind turbines
👥 Authors: Y Zhao, K Xie, C Shao, C Lin, M Shahidehpour, HM Tai, B Hu, X Du
📅 Year: 2023
🔢 Citations: 3
📘 Title: Computation Offloading for Cloud-Edge Collaborative Virtual Power Plant Frequency Regulation Service
👥 Authors: C Lin, B Hu, C Shao, K Xie, JCH Peng
📅 Year: 2024
🔢 Citations: 2
📘 Title: Robust distributed adaptive consensus for linear multiagent systems with uncertain topologies
👥 Authors: W Huang, C Lin, B Hu, T Niu
📅 Year: 2022
🔢 Citations: 2
📘 Title: Stability analysis of load frequency control based on age-of-information
👥 Authors: D Jiao, C Lin, K Xie, B Hu, C Shao, S Gao
📅 Year: 2022
🔢 Citations: 1